class_docstr: Infer features for subword tokenization.
docstr: Avalilable options related to this Transform.
docstr_tok: ["Avalilable","options","related","to","this","Transform","."]
code: def add_options(cls, parser):
      """Avalilable options related to this Transform."""
      group = parser.add_argument_group("Transform/InferFeats")
      group.add(
          "--reversible_tokenization",
          "-reversible_tokenization",
          default="joiner",
          choices=["joiner", "spacer"],
          help="Type of reversible tokenization "
          "applied on the tokenizer.",
      )
  
file_path: OpenNMT-py/onmt/transforms/features.py
imports: from onmt.transforms import register_transform
  from .transform import Transform
  from onmt.utils.alignment import subword_map_by_joiner, subword_map_by_spacer
label_desc: Use image node_id 2 for calling the InferFeatsTransform obj's underlying member method code with example usage: obj.add_options(cls, parser) without return types